Legal claims defining the scope of protection, as filed with the USPTO.
2. The method as set forth in claim 1 , wherein the at least one subsequent sequence estimation value produced in step (c) is produced on according to a likelihood function produced by: L ( s | s ^ i ) = ∑ m = 1 M ∑ p = 1 P { Re [ ( y m p ) H C p Λ m i f p ] - β p 2 ∑ n = 1 N ∑ a = 1 J ∑ b = 1 J [ x n , m i ] a , b [ f p ] a [ f p ] b * } where “Λ m i ” denotes a matrix of a conditional expected value associated with a channel impulse response and is given by Λ m i =[μ 1,m i , μ 2,m i , . . . , μ n,m i ] T , “μ n,m i ” denotes the conditional expected value associated with the channel impulse response and is given by μ n,m i =E[h n,m |y m ,ŝ i ], “└x n,m i ∃ a,b ” denotes a conditional expected value associated with a covariance matrix of the channel impulse response and is given by [x n,m i ] a,b =E└h n,m a (h n,m b ) H |y m ,ŝ i ],“C” denotes a space-time block code matrix, “f” denotes an element of a discrete Fourier transform matrix, “M” denotes the number of receiving antennas, “P” denotes the number of sub-carriers, “N” denotes the number of transmitting antennas, “J” denotes the number of paths associated with the channel impulse response, and C h C=βI.
4. The method as set forth in claim 3 , wherein the variance scaling factor is produced by: ρ = E [ ∑ i = 1 L c n ( l ) 2 β 2 ] where “c n (l)” denotes an element of a space-time block code matrix C, and C H C=βI.
5. The method as set forth in claim 3 , wherein the variance scaling factor is produced by: STBC 16-QAM 64-QAM Rate 1(N = 2) 0.659 0.700 Rate 3/4(N = 3, 4) 0.389 0.398 Rate 1/2(N = 3, 4) 0.139 0.141.
11. The apparatus as set forth in claim 10 , wherein the at least one subsequent sequence estimation value is produced according to a likelihood function produced by: L ( s | s ^ i ) = ∑ m = 1 M ∑ p = 1 P { Re [ ( y m p ) H C p Λ m i f p ] - β p 2 ∑ n = 1 N ∑ a = 1 J ∑ b = 1 J [ x n , m i ] a , b [ f p ] a [ f p ] b * } where “Λ m i ” denotes a matrix of a conditional expected value associated with a channel impulse response and is given by Λ m i =[μ 1,m i , μ 2,m i , . . . , μ n,m i ] T , “μ n,m i ” denotes the conditional expected value associated with the channel impulse response and is given by μ n,m i =E[h n,m |y m ,ŝ i ], “└x n,m i ∃ a,b ” denotes a conditional expected value associated with a covariance matrix of the channel impulse response and is given by [x n,m i ] a,b =E└h n,m a (h n,m b ) H |y m ,ŝ i ], “C” denotes a space-time block code matrix, “f” denotes an element of a discrete Fourier transform matrix, “M” denotes the number of receiving antennas, “P” denotes the number of sub-carriers, “N” denotes the number of transmitting C H C=βI.
13. The apparatus as set forth in claim 12 , wherein the variance scaling factor is produced by: ρ = E [ ∑ i = 1 L c n ( l ) 2 β 2 ] where “c n (l)” denotes an element of a space-time block code matrix C, and C H C=βI.
14. The apparatus as set forth in claim 12 , wherein the variance scaling factor is produced by: STBC 16-QAM 64-QAM Rate 1(N = 2) 0.659 0.700 Rate 3/4(N = 3, 4) 0.389 0.398 Rate 1/2(N = 3, 4) 0.139 0.141.
20. The method as set forth in claim 19 , wherein the at least one subsequent sequence estimation value produced step (c) is produced according to a likelihood function produced by: Q ( s | s i ) = ∑ k = - N a N a { Re [ y * ( k ) s ( k ) ∑ l = 1 L [ F ] k , l m 1 i ( l ) ] - 1 2 s k 2 ∑ l = 1 L ∑ m = 1 L [ F ] k , l [ F ] k , m * m 2 i ( l , m ) } where “F” denotes a discrete Fourier transform matrix, “m 1 i ” denotes a conditional expected value associated with the channel impulse response, “m 2 i ” denotes a conditional expected value associated with a covariance matrix of the channel impulse response, and “L” denotes a number of channels.
21. The method as set forth in claim 19 , wherein the white Gaussian noise is produced by: σ n ′ 2 = 1 M ∑ m = 1 M σ n 2 s m 2 = β σ n 2 where “S m ” denotes an m th symbol based on M-ary QAM, “β” denotes a variance scaling factor, and “σ n 2 ” denotes a noise variable.
22. The method as set forth in claim 21 , wherein the variance scaling factor is β=1.998 for 16-QAM.
23. The method as set forth in claim 21 , wherein the variance scaling factor is β=2.6854 for 64-QAM.
25. The method as set forth in claim 20 , wherein a normalized value of the covariance matrix of the channel impulse response is produced by: m 2 i = [ m 2 i ( 1 , 1 ) m 2 i ( 1 , 2 ) ⋯ m 2 i ( 1 , L ) m 2 i ( 2 , 1 ) m 2 i ( 2 , 2 ) ⋯ m 2 i ( 2 , L ) ⋯ m 2 i ( L , 1 ) m 2 i ( L , 1 ) ⋯ m 2 i ( L , L ) ] = E [ hh H | y , s i ] = σ n 2 ( R ′ ) i + m 1 i ( m 1 i ) H where “(·) H ” denotes a Hermitian transpose operation, and “R′” denotes a normalized value of the covariance matrix of the channel impulse response.
29. The apparatus as set forth in claim 28 , wherein the at least one subsequent sequence estimation value is produced according to a likelihood function produced by: Q ( s | s i ) = ∑ k = - N a N a { Re [ y * ( k ) s ( k ) ∑ l = 1 L [ F ] k , l m 1 i ( l ) ] - 1 2 s k 2 ∑ l = 1 L ∑ m = 1 L [ F ] k , l [ F ] k , m * m 2 i ( l , m ) } where “F” denotes the discrete Fourier transform matrix, “m 1 i ” denotes a conditional expected value associated with the channel impulse response, “m 2 i ” denotes a conditional expected value associated with a covariance matrix of the channel impulse response, and “L” denotes the number of channels.
30. The apparatus as set forth in claim 28 , wherein the white Gaussian noise is produced by: σ n ′ 2 = 1 M ∑ m = 1 M σ n 2 s m 2 = βσ n 2 where “s m ” denotes an m th symbol based on M-ary QAM, “β” denotes a variance scaling factor, and “σ n 2 ” denotes a noise variable.
31. The apparatus as set forth in claim 30 , wherein the variance scaling factor is β=1.998 for 16-QAM.
32. The apparatus as set forth in claim 30 , wherein the variance scaling factor is β=2.6854 for 64-QAM.
34. The apparatus as set forth in claim 29 , wherein a normalized value of the covariance matrix of the channel impulse response is produced by an equation of: m 2 i = [ m 2 i ( 1 , 1 ) m 2 i ( 1 , 2 ) … m 2 i ( 1 , L ) m 2 i ( 2 , 1 ) m 2 i ( 2 , 2 ) … m 2 i ( 2 , L ) … m 2 i ( L , 1 ) m 2 i ( L , 2 ) … m 2 i ( L , L ) ] = E [ hh H ❘ y , s i ] = σ n 2 ( R ′ ) i + m 1 i ( m 1 i ) H where “(·) H ” denotes a Hermitian transpose operation, and “R′” denotes a normalized value of the covariance matrix of the channel impulse response.
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February 19, 2008
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